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ML Additional Resources
CMPUT 466/566 - Machine Learning
Curriculum
Probability
Linear Algebra
Bayesian Thinking & Naïve Bayes Classifiers
Decision Trees
Evaluation
MLE and Optimization
Linear Classifiers Overview
Perceptrons
Logistic Regression
Regularization
Neural Networks
Support Vector Machines
External Resources
Extra Pages
Vector Dot Product Intuition
Test Page
Source/Download
Curriculum
Evaluation
Curriculum
Introduction
Measures of Performance
True/False Positives/Negatives
Error and Accuracy
Precision and Recall
Tuning Performance
Confusion Matrices
ROC Curves
Precision-Recall Curves